Researchers built a robot that mimics the movement of mantis shrimp, which can deliver impressive forces. The study sheds light on the biology of mantis shrimp and reveals how they control their movements using geometry.
Researchers at the University of Michigan have developed a new near-field thermophotovoltaics system, enabling much greater power output than traditional methods. The breakthrough could provide compact and higher efficiency power sources for soldiers on future battlefields.
Researchers at UC Berkeley studied how squirrels decide whether to take a leap and assess their biomechanical abilities to know whether they can land safely. They found that squirrels learn to adapt their leaping strategy in just a few attempts, depending on the branch's compliance and gap distance.
Researchers have identified a protein in bird retinas sensitive to the Earth's magnetic field, guiding migratory patterns. This discovery may lead to development of highly sensitive magnetic field sensors for navigation systems.
Researchers at the U.S. Army's Institute for Soldier Nanotechnologies identified a new material that absorbs impact more efficiently than steel, Kevlar, aluminum and other materials of comparable weight. The nanoarchitected material features impressive properties like exceptional lightness and resilience.
Researchers developed a new imaging technique to study ligand interactions with nanoparticles, discovering that varying ligand concentration can control particle shape. This approach could lead to the creation of chemical sensors and methods for removing micropollutants from the environment.
Researchers at Cornell University developed a new method to study conjugated polymers, allowing them to measure individual molecules' mechanical and kinetic properties. This breakthrough could enable the creation of more flexible and robust soft electronic materials.
Researchers developed resource-efficient federated learning to train analytic models on local data, enabling coalition partners to learn similar tasks without sharing sensitive data. The new technology provides cutting-edge capability over adversaries and is crucial for defense applications.
The US Army is leveraging virtual reality to advance an interdisciplinary understanding of group dynamics, particularly in small special operations teams. The research aims to identify neurological signals of influencers in groups to support Army missions.
The U.S. Army Research Laboratory has developed a new formula that applies to a broad range of legged, wheeled, and tracked systems, showing they are as efficient as other ground mobile platforms. The findings have implications for designing future terrestrial robots for defense applications, particularly in challenging terrain.
The US Army has partnered with teams led by the University of Maryland to accelerate AI development and deployment for safe and effective capabilities. The collaboration aims to reduce human workload and risk in complex environments, such as search-and-rescue operations.
New Army-funded synthetic biology research has enabled the manipulation of micro-compartments in cells, potentially leading to breakthroughs in bio-manufacturing. The study could inform new ways to design medicine, synthetic cells and nano-reactors for nanotechnology applications.
Researchers identified a set of approaches to assess human-automation teams' communication, focusing on structure, emotion, and content. The 11-critical approaches aim to improve Soldier-robot interactions, enabling less manual input and more natural teamworking.
Researchers designed and built two-dimensional arrays of closely packed micro-lasers that achieve power density orders of magnitude higher, paving the way for improved lasers, high-speed computing, and optical communications. The breakthrough enables single-mode lasing with enhanced emission power and increased coherence.
Scientists have invented a way to break down compostable plastics into small molecules within weeks using just heat and water. The new process involves embedding polyester-eating enzymes in the plastic, which then degrade it into lactic acid that can feed soil microbes.
Researchers create an approach to flexibly interpret and respond to Soldier intent derived from spoken dialogue with autonomous systems. The technology enables bi-directional conversational interactions between Soldiers and autonomous systems, allowing for hands-free operation to improve situational awareness.
Researchers from Louisiana State University demonstrated a machine learning approach that corrects distorted quantum information in photon systems. This method outperforms traditional protocols, showcasing the potential for machine learning to enhance quantum sensing and communications technologies on the battlefield.
Cornell University researchers developed micron-sized shape memory actuators that enable atomically thin materials to fold themselves into 3D configurations. These tiny machines can hold their shape even after voltage is removed, enabling potential applications in nano-robots and smart materials.
Researchers have made a breakthrough in developing passive quantum error correction, which could enable the creation of fault-tolerant quantum computers. The technology has the potential to revolutionize various fields, including artificial intelligence, materials science, and biochemical engineering.
Researchers successfully transferred entangled qubit states through a communication cable, paving the way for future quantum networks. The team achieved entanglement amplification via the cable, using superconducting qubits, and demonstrated a system that can send entangled quantum states with minimal loss of information.
A new study identifies a potential link between blast exposure and Alzheimer's disease in soldiers. Researchers found that even healthy neurons with subtle synaptic pathology may be an early indicator of Alzheimer's-type pathogenesis.
Army researchers developed a new class of 2D polymers with tremendous potential for military applications. The breakthrough was made possible through a collaborative program between the US Army Research Laboratory and Northeastern University.
Army researchers studied moral dilemmas involving autonomous machines, revealing that risk and social influence shape decision-making. The study contributes to the development of AI systems that reflect society's ethical standards, facilitating adoption by the Army and acceptance by the general public.
The Rydberg sensor can analyze the full spectrum of radio frequency signals and detect AM and FM radio, Bluetooth, Wi-Fi, and other communication signals. It offers unparalleled sensitivity and accuracy to detect a wide range of mission-critical signals, enabling new capabilities for soldier communications and electronic warfare.
Scientists have discovered a way to create materials that can snap and reset themselves, moving without the need for motors or external power. This breakthrough could enable future military robots to operate independently, reducing reliance on batteries and motors.
Engineers at MIT and Imperial College London created living materials by combining bacteria and yeast to produce cellulose embedded with enzymes that can perform various functions. These materials have potential applications in microbial fuel cells, sense and respond systems, and self-repairing materials for the US Army.
A new turbulence model can simulate entire vortex collision events up to 100 times faster than current state-of-the-art techniques. This allows engineers to design better aircraft and weapon systems without waiting months for supercomputer calculations.
New research by the U.S. Army reduces unpredictability of current training reinforcement learning policies, enabling robots to reason and adapt to changing battlefield conditions. The breakthrough enhances the Army's future operating concept by incorporating risk sensitivity, safety constraints, exploration, and divergence to a prior.
Researchers have invented a hinge that allows large Army quadrotors to climb higher in seconds, improving agility and control authority. The innovation reduces thrust response time by 30%, enabling quadtors to reach the rooftop of a two-story building in as little as two seconds.
Researchers created a trajectory planner that enables drones to quickly switch between hover and forward flight, reducing transition time by half. The system uses aerodynamic models to optimize flight movements, allowing for more agile maneuvers in dense or urban areas.
Researchers developed a new analysis tool called TRAST to predict whirl flutter behavior in tiltrotors. The team will test the TiltRotor Aeroelastic Stability Testbed in a massive wind tunnel to gauge its effectiveness in predicting stability models.
Researchers have created a new method to reduce noise emissions from small unmanned aerial systems (sUAS) without compromising their flight range or endurance. The method uses high-fidelity computational fluid dynamics codes to obtain information about airfoil boundary layers, enabling the development of quieter air vehicles.
Researchers investigated acoustic properties of eVTOL aircraft and found that smaller rotors generate more broadband noise. Co-axial co-rotating rotors may offer better performance and lower noise than conventional rotors, with stacked rotor configurations potentially producing the lowest noise levels.
Scientists from the US Army and MIT's Center for Bits and Atoms created a new way to link materials with unique mechanical properties, enabling the design of modular materials with tailored properties. This could lead to dynamic structures that can reconfigure on their own, such as swarms of robots forming bridges.
A new machine learning algorithm has been developed to isolate patterns in brain signals that relate to specific behaviors, enabling the decoding of these behaviors. The algorithm was tested on standard brain datasets and showed significant improvement over standard algorithms in predicting movement kinematics.
Researchers created a Hostile Bias Modification Training protocol to reduce anger and aggression in ambiguous social conflict situations. The study, published in Cognitive Therapy and Research, found that the training was effective in reducing hostile attribution bias, anger, and reactive aggression.
Researchers developed a process to measure COVID-19 antibody levels using enzyme-linked immunosorbent assays (ELISAs), which is faster, easier and less expensive than traditional methods. The ELISA tests had an 80% or greater probability of predicting virus neutralization titers.
Researchers developed a new microwave radiation sensor with 100,000 times higher sensitivity than currently available sensors, enabling improved thermal imaging and detection of electromagnetic signals. The technology has potential applications in quantum sensing, radar, and the search for dark matter.
A landmark discovery at New York University has developed a method to create colloids that crystallize into the diamond lattice, enabling cheap and reliable fabrication of 3D photonic crystals for optical circuits. This breakthrough could lead to lightweight high-efficiency lasers, precise light control, and new materials for managing ...
The US Army Research Laboratory teamed up with Italian Institute of Technology, Harvard Medical School, and University of California, Irvine to study the complexities of the human brain. Researchers used transcranial magnetic stimulation and fMRI to track neural changes after inhibiting a specific part of the brain.
Researchers at the U.S. Army Research Laboratory found that emotion expressions can shape cooperation in autonomous systems. They suggest guidelines for designing machines that promote cooperation with soldiers by using a combination of action and emotion displays.
Researchers discovered how the brain processes bright and contrasting light, enabling robots to team with humans. The study's findings reveal principles that can guide modeling toward correct mechanisms for reconstructing 3D shape in real-world luminance.
Researchers investigated the impact of sleep deprivation on glymphatic system function, which regulates waste removal in the brain. The study found that astrocytes play a crucial role in regulating this process, and disruptions to circadian rhythms can lead to neurological disorders such as Alzheimer's disease.
A team of researchers developed an individual biocontainment unit using negative pressure to filter out viral particles, preventing environmental contamination. The device was tested with over 99.99% of virus-sized aerosols trapped, making it safer for healthcare workers.
Researchers developed a novel design approach for a miniature, low-frequency antenna that improves upon limitations of conventional antennas. The new antenna enables robust networking among compact, mobile robots in complex environments with more than threefold bandwidth enhancement.
Researchers have made breakthroughs in understanding dispersion's impact on entangled photon systems, allowing for more reliable communication networks. This discovery could enable faster data transmission rates and secure secret sharing.
Researchers developed a human-robot team that can detect physical changes in 3D environments and share information with humans in real-time through augmented reality. The robot's sensors and algorithms enable it to provide contextual awareness to soldiers, helping them stay ahead of potential threats.
The VENUS system uses a pulsed magnetic field to stimulate small metal parts in landmines, detecting vibrations that distinguish them from other buried objects. This technology has the potential to upgrade conventional systems and reduce false alarm rates, benefiting humanitarian operations and road mobility.
Army researchers have developed a new material that can autonomously heal in air and underwater, enabling massive reconfigurability in future military platforms. The material has a dynamic bond that allows it to be 3-D printed and recycled, and introduces unique shape memory behavior.
Researchers developed a novel algorithm to detect subtle changes in network data, enabling the protection of Army networks from adversarial actions. The new method uses higher-order networks to analyze complex systems and identify influential nodes, predict co-evolution of multi-genre networks.